Fanny Jourdan

According to our database, Fanny Jourdan authored at least 7 papers in 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations.

Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser

Algorithms, March, 2023

TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability.

Fanny Jourdan, Louis Béthune, Agustin Picard, Laurent Risser, Nicholas Asher

CoRR, 2023

Are fairness metric scores enough to assess discrimination biases in machine learning?

Fanny Jourdan, Laurent Risser, Jean-Michel Loubes, Nicholas Asher

CoRR, 2023

COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks.

Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher

CoRR, 2023

Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning?

Fanny Jourdan, Ronan Pons, Nicholas Asher, Jean-Michel Loubes, Laurent Risser

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems?

Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP.

Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023